Development Of An IoT-Enabled Noise Monitoring And Controlling Device With Advanced Alert Mechanism For Silent Zone Areas In India: Overcoming IoT Challenges And Enhancing Quality Of Life"

Main Article Content

Mr. Rajesh Appa Sanadi
Dr. Avaneesh Anand Singh

Abstract

This invention describes an innovative IoT-Based Noise Detection & Alert System designed to monitor noise levels and enhance security in diverse environments. Deploying noise detection sensors and integrating them with the central processing unit, the Raspberry Pi, the system continuously monitors ambient noise levels in real-time. By comparing noise data against predefined thresholds, the system detects noise disturbances and triggers automated alert notifications to designated. recipients. Additionally, the system's integration with image capture and processing capabilities provides visual context for noise level incidents, facilitating targeted interventions and documentation. The versatility and adaptability of the system make it suitable for various applications, including educational environments, commercial settings, and residential neighborhoods. By enabling proactive management of noise pollution, detection of intruders, and real-time response to security incidents, the IoT-Based Noise Detection & Alert System offers a comprehensive solution for creating healthier, safer, and more secure environments.


Noise pollution or sound pollution is the propagation of noise with ranging impact on activity of humans & animal life. Most of which are very harmful to humans. Source of outdoor noise worldwide is mainly caused by machines, transport, and propagation systems. Noise pollution also impact the health and well-being of wildlife. To control the noise pollution various systems models are present. Hence to overcome all problems and help our society we propose a IoT based system noise detection system using raspberry Pi and with high end noise detection sensor. This model is used in school area as well as any other places where noise is required in less amount. After one lecture second lecture is starting. In this gap teacher may came late between these students make noise. It will effect on nearby classes or office. That's why for controlling this noise we develop IoT based noise detection system is proposal which will help to control the noise. With the help of this model teacher or authority will take a preventive action. This model is helpful in various noise pollution area like in city, hospital, school, court area silent zone areas.


 

Downloads

Download data is not yet available.

Article Details

How to Cite
Mr. Rajesh Appa Sanadi, & Dr. Avaneesh Anand Singh. (2023). Development Of An IoT-Enabled Noise Monitoring And Controlling Device With Advanced Alert Mechanism For Silent Zone Areas In India: Overcoming IoT Challenges And Enhancing Quality Of Life". Educational Administration: Theory and Practice, 29(4), 4519–4526. https://doi.org/10.53555/kuey.v29i4.9476
Section
Articles
Author Biographies

Mr. Rajesh Appa Sanadi

Schloar ,Glocal University, Saharanpur, Uttar Pradesh, India

Dr. Avaneesh Anand Singh

Assistant Professor, Glocal University Saharanpur, Uttar Pradesh, India